Convolution Neural Networks for Traffic Sign Classification

Abstract

Recognizing traffic signs is very important in applications such as traffic surveillance and self-driving cars. Deep learning models are found to be effective to classify the images with higher accuracy. Extracting features for classification task has always been difficult. This paper proposes traffic sign classification system based on Convolution Neural Networks (CNN).